United States AI in Agriculture Market Set to Transform Global Crop Production and Efficiency 2025 | Top key players - Microsoft, IBM, Granular Inc.

Market Size and Growth:

The Global AI in Agriculture Market size reached US$ 2,567.54 million in 2024 and is expected to reach US$ 15,901.36 million by 2032, growing with a CAGR of 25.60% during the forecast period 2025-2032.

The AI in Agriculture Market report, published by DataM Intelligence, provides in-depth insights and analysis on key market trends, growth opportunities, and emerging challenges. Committed to delivering actionable intelligence, DataM Intelligence empowers businesses to make informed decisions and stay ahead of the competition. Through a combination of qualitative and quantitative research methods, it offers comprehensive reports that help clients navigate complex market landscapes, drive strategic growth, and seize new opportunities in an ever-evolving global market.

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The AI in Agriculture Market encompasses the adoption of artificial intelligence technologies in farming and agribusiness to enhance productivity, efficiency, and sustainability. It includes AI-driven solutions such as precision farming, crop monitoring, predictive analytics, automated machinery, and disease detection. The market targets optimized resource utilization, improved yield quality, reduced operational costs, and data-driven decision-making across the agricultural sector.

Recent Key Developments of United States and Japan:

USA:
01 August 2025: A major Midwest startup launched an AI-powered crop monitoring system that uses machine vision to predict and prevent pest outbreaks in real time.

25 July 2025: A leading university revealed a partnership with agritech firms to deploy autonomous drones for precision pesticide application in large-scale farms.

18 June 2025: An AI-driven farm management platform received new investment to scale predictive analytics for optimizing irrigation and fertilizer use on US farms.

Japan:
22 September 2025: A robotics manufacturer announced commercial trials of AI-guided fruit-picking robots aimed at addressing labor shortages in orchards.

14 August 2025: A Tokyo-based tech firm launched an AI platform combining soil analytics and weather forecasting to assist rice farmers in yield optimization.

11 July 2025: Government-backed researchers began testing AI-enhanced vertical farming systems that automate light, water, and nutrient adjustments for leafy greens.

List of the Key Players in the AI in Agriculture Market:

Microsoft
IBM
Granular Inc.
AgEagle Aerial Systems Inc.
Google LLC
Deere & Company
Cropin Technology Solutions Private Limited
Bayer AG
KissanAI
Niqo Robotics.

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This Report Covers:

✔ Go-to-market Strategy.

✔ Neutral perspective on the market performance.

✔Development trends, competitive landscape analysis, supply side analysis, demand side analysis, year-on-year growth, competitive benchmarking, vendor identification, and other significant analysis, as well as development status.

✔Customized regional/country reports as per request and country level analysis.

✔ Potential & niche segments and regions exhibiting promising growth covered.

✔ Analysis of Market Size (historical and forecast), Total Addressable Market (TAM), Serviceable Available Market (SAM), Serviceable Obtainable Market (SOM), Market Growth, Technological Trends, Market Share, Market Dynamics, Competitive Landscape and Major Players (Innovators, Start-ups, Laggard, and Pioneer).

Segments Covered in the AI in Agriculture Market:

By Deployment: Cloud, On-Premise.

By Technology: Machine Learning, Predictive Analytics, Computer Vision, Others.

By Offering: Software, Hardware, Service.

By Application: Precision Farming, Drone Analytics, Agriculture Robots, Livestock Monitoring, Labor Management, Others.

By Farm Size: Small (Less Than 5 Hectare), Medium (5 -10 Hectare), Large (Above 10 Hectare).

By End-User: Farmers, Agribusinesses, Others.

Regional Analysis:

⇥ North America (U.S., Canada, Mexico)

⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)

⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)

⇥ South America (Colombia, Brazil, Argentina, Rest of South America)

⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)

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Chapter Outline

⏩ Market Overview: It contains five chapters, as well as information about the research scope, major manufacturers covered, market segments, AI in Agriculture market segments, study objectives, and years considered.

⏩ Market Landscape: The competition in the Global AI in Agriculture Market is evaluated here in terms of value, turnover, revenues, and market share by organization, as well as market rate, competitive landscape, and recent developments, transaction, growth, sale, and market shares of top companies.

⏩ Companies Profiles: The Global AI in Agriculture market's leading players are studied based on sales, main products, gross profit margin, revenue, price, and growth production.

⏩ Market Outlook by Region: The report goes through gross margin, sales, income, supply, market share, CAGR, and market size by region in this segment. North America, Europe, Asia Pacific, Middle East & Africa, and South America are among the regions and countries studied in depth in this study.

⏩ Market Segments: It contains the deep research study which interprets how different end-user/application/type segments contribute to the AI in Agriculture Market.

⏩ Market Forecast: Production Side: In this part of the report, the authors have focused on production and production value forecast, key producers forecast, and production and production value forecast by type.

⏩ Research Findings: This section of the report showcases the findings and analysis of the report.

⏩ Conclusion: This portion of the report is the last section of the report where the conclusion of the research study is provided.

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People Also Ask:

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